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Field
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(e.g. Python, R) Experience in the use of neuroimaging analysis (fMRI, MRI) to study mechanisms of brain function Previous experience of using Bayesian methods in both model development and fitting
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of using Bayesian methods in both model development and fitting. Previous experience and knowledge of research methods and study design in clinical trials. Knowledge of Good Clinical Practice (GCP) in
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Ability to acquire new skills beyond current expertise to achieve project objectives. In-depth theoretical and practical knowledge in engineering or cell biology. Ability to work independently and
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of 360-degree vision and robotics (collaborative robot arm, humanoid robot) to enable the dynamic handover of an object from a person to a robot and carry it together to move it. - Activity 1: Substantive
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) or other expertise relevant to the project objectives (see above) Early career track record including publications or other outputs in the related field In case your background is in psychology or medicine
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. We take a bottom-up approach to robotics and develop soft materials and devices that would enable unusual form and unconventional functions for broader robotic applications. Job description Track 1
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responsibility, particularly in relation to planning, funding, collaborating and publishing research, and mentoring colleagues. 15 Establish and sustain a track record of independent and joint published research
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quantum engineering. The ideal candidate will have a solid track record of experimental research, preferably in low-temperature condensed matter physics, quantum physics, quantum engineering, or related
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on the training strategies. In this project, we will investigate Bayesian methods to train deterministic SNNs (with deterministic activation functions) or probabilistic SNNs. Bayesian deep learning methods have
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work and how they might be misused or abused (both intentionally and unintentionally) Boundary objects that can be used to bridge the divide between educators and AI experts (e.g. causal DAGs, hybrid